ZipRecruiter

Log In

2

Remote Data Labeling Analyst Jobs in Reno, NV (NOW HIRING)

DataAnnotation

FP&A Manager - AI Trainer

Sparks, NV · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

FP&A Manager - AI Trainer

Reno, NV · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Varsity Tutors

IB Biology Tutor

Reno, NV · Remote

$18 - $40/hr

Guides students through interpreting data-based questions, drawing and labeling biological diagrams, analyzing genetics problems, and constructing evidence-based arguments. Emphasizes connecting ...

DataAnnotation

Financial Planner - AI Trainer

Reno, NV · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

M&A Associate - AI Trainer

Sparks, NV · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

next page

Showing results 1-20

All JobsData Labeling Analyst JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Reno, NV

Remote Data Labeling Analyst information

See Reno, NV salary details

$33.9K

$82.4K

$135.6K

How much do remote data labeling analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data labeling analyst in Reno, NV is $82,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Labeling Analyst, and why are they important?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are popular job titles related to Remote Data Labeling Analyst jobs in Reno, NV? For Remote Data Labeling Analyst jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Reno, NV look for? The top searched job categories for Remote Data Labeling Analyst jobs in Reno, NV are:
What cities near Reno, NV are hiring for Remote Data Labeling Analyst jobs? Cities near Reno, NV with the most Remote Data Labeling Analyst job openings:
Remote Data Labeling Analyst jobs near you
AI-Native React Engineer, Embeddable Widgets and AI-Powered Frontends,

AI-Native React Engineer, Embeddable Widgets and AI-Powered Frontends,

Pop-Up Talent

Truckee, CA • Remote

$140K - $210K/yr

Full-time

Medical

Posted 14 days ago

Job description

AI-Native React Engineer – Embeddable Widgets & AI-Powered Frontends (Greenfield)
Remote (US-based)

  • Type: Full-time
  • Compensation: $140,000–$210,000 base (higher possible for exceptional agentic-native candidates)
  • Reports to: VP of Engineering (direct CEO visibility)

 
OVERVIEW:

  • This is a greenfield frontend engineering role focused on building a composable React widget framework and embeddable, data-rich frontend experiences powered by AI
  • The company is a profitable, owner-operated platform transforming complex property and public records data into actionable insights for small businesses. The team is investing heavily in a modern frontend and data platform to support its next stage of growth
  • The engineering culture is AI-first and agentic-native, with Cursor as the primary development environment. Engineers are expected to use AI agents as a core part of their workflow to achieve significantly higher development velocity—not just occasional AI-assisted coding

 
ROLE OVERVIEW:

  • You will lead the design and development of a composable widget system that can be embedded across multiple environments (iframes, web components, shadow DOM, sandboxed contexts)
  • You will define architecture, component models, and developer experience for a new frontend platform while working closely with executive leadership on product direction and tradeoffs

 
WHAT YOU’LL BUILD:

  • A composable React widget framework for embeddable environments
  • Data-rich UI experiences (property profiles, owner views, interactive maps, lead workflows)
  • AI-powered frontend features integrated with LLMs for data exploration and user workflows
  • A reusable component library with strong UX, accessibility, and developer usability

 
KEY RESPONSIBILITIES:

  • Design and implement a scalable React + TypeScript widget framework
  • Build data-heavy UIs (tables, filters, maps, pagination, sorting)
  • Integrate REST and/or GraphQL APIs
  • Design for sandboxed embedding environments (iframes, CSP, host-guest communication)
  • Own architecture decisions and system design for frontend platform
  • Collaborate closely with leadership on scope, tradeoffs, and roadmap
  • Ensure performance, UX quality, and maintainability at scale

 
REQUIRED EXPERIENCE & SKILLS:

  • Strong experience with React + TypeScript at scale
  • Experience building data-heavy, complex frontend applications
  • Experience with embeddable or widget-based systems (or similar architecture work)
  • Experience with sandboxed iframe environments and CSP considerations
  • Strong understanding of API integration (REST and/or GraphQL)
  • Ability to operate in high-ownership, ambiguous, greenfield environments
  • Experience using modern frontend tooling (Tailwind, component libraries, etc.)
  • Strong communication and product thinking
     

EXPERIENCE REQUIREMENT:

  • Must have experience building and shipping applications serving thousands to millions of users, with the ability to clearly describe the product(s) worked on and specific technical contributions (e.g., architecture, features, performance, and impact at scale)

 
AGENTIC / AI-NATIVE REQUIREMENT:

  • Cursor (or similar tools) used as primary development environment
  • Experience using AI tools to meaningfully accelerate engineering output
  • Clear understanding of agent workflows, task decomposition, and review practices
  • Ability to combine human judgment with AI-driven development workflows


BONUS EXPERIENCE:

  • Embeddable / white-label widget systems
  • Mapbox, Leaflet, or Google Maps
  • Real estate / property tech platforms
  • Design systems or component library architecture
  • Experience transitioning teams into AI-first engineering workflows

 
We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities.
req26-00211